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"How to solve IT Engineering Challenges through Enterprise Security Workflows?"

Five IT Engineering Challenges with Scaling Enterprise Security Workflows and How to Solve Them

White Paper: Avere Systems

Every organization’s primary challenge is to avoid bottlenecks to and from storage as the infrastructure scale to incorporate larger datasets. This includes managing unfiltered, real-time stream of data from tens of thousands of users and assets at every layer of the IT infrastructure—which includes scaling enterprise security log and analytics workflows.
This white paper introduces a solution that helps enterprises in collecting security log data,efficient searching, analyzing the data for improving the intelligence and threat detection, and ultimately protect at-scale functionalityto support expanding enterprise security workflows.This benefits the enterprise in ingest and analytics performance, vendor choice protection, and migrationand mirroring of log data across data centers.

This white paper addresses the following questions:

What are the five biggest scale-related problems faced by an organization?

How to solve the challenges associated with scaling the Enterprise Security Workflows?

What are the methods for efficient data management throughout the lifecycle?

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What is

Computer data storage often known as storage or memory is a technological process through which digital data is stored on a storage device, and recorded for an indefinite period of time. A storage device is a core function and fundamental component of any computer which holds the data and information temporarily or permanently; and it can also be external to a computer, server or any computing device.

Internet of things Global Standard Initiative defines it as “as a global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies.” Research firm Gartner for 2017 and beyond states an estimate that by 2020 there will be as many as 20.8 billion devices connected to the internet and hardware spending on IoT would amount more than 3 trillion dollars.

Enterprise analytics is the process of using analytics to analyze and process data used by an organization for all its functions. The extremely large amount of data being generated everyday (big data) has resulted in a data-driven business culture. Enterprise analytics is the analytics of big data by organizations to extract the useful data needed to provide meaningful information from the raw data available.